submission_id: chaiml-albert-dpo-0912-v_1706_v1
developer_uid: chai_backend_admin
alignment_samples: 11428
alignment_score: -0.16494223857041299
best_of: 8
celo_rating: 1249.55
display_name: variety-top-model-strength
formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
generation_params: {'temperature': 0.9, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>', '###', 'Bot:', 'User:', 'You:', '<|im_end|>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: True
language_model: ChaiML/albert_dpo_0912_virgo_edit_variety_top_model_strength
latencies: [{'batch_size': 1, 'throughput': 0.60172486017634, 'latency_mean': 1.6618097269535064, 'latency_p50': 1.6691186428070068, 'latency_p90': 1.8230929374694824}, {'batch_size': 3, 'throughput': 1.0674485232488051, 'latency_mean': 2.7955832636356353, 'latency_p50': 2.8018969297409058, 'latency_p90': 3.174057674407959}, {'batch_size': 5, 'throughput': 1.2224025894730635, 'latency_mean': 4.071746450662613, 'latency_p50': 4.063215851783752, 'latency_p90': 4.590361094474792}, {'batch_size': 6, 'throughput': 1.2417440993475333, 'latency_mean': 4.807215204238892, 'latency_p50': 4.859675288200378, 'latency_p90': 5.4279194355010985}, {'batch_size': 8, 'throughput': 1.2241717836600028, 'latency_mean': 6.506282871961593, 'latency_p50': 6.546934127807617, 'latency_p90': 7.3679258823394775}, {'batch_size': 10, 'throughput': 1.2032589303111465, 'latency_mean': 8.260980682373047, 'latency_p50': 8.321531534194946, 'latency_p90': 9.165940427780152}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: ChaiML/albert_dpo_0912_v
model_name: variety-top-model-strength
model_num_parameters: 12772070400.0
model_repo: ChaiML/albert_dpo_0912_virgo_edit_variety_top_model_strength
model_size: 13B
num_battles: 11428
num_wins: 5779
propriety_score: 0.7267987486965589
propriety_total_count: 959.0
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 1.19
timestamp: 2024-09-13T19:41:26+00:00
us_pacific_date: 2024-09-13
win_ratio: 0.5056877843892195
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run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name chaiml-albert-dpo-0912-v-1706-v1-mkmlizer
Waiting for job on chaiml-albert-dpo-0912-v-1706-v1-mkmlizer to finish
chaiml-albert-dpo-0912-v-1706-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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chaiml-albert-dpo-0912-v-1706-v1-mkmlizer: ║ ║
chaiml-albert-dpo-0912-v-1706-v1-mkmlizer: ║ Version: 0.10.1 ║
chaiml-albert-dpo-0912-v-1706-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
chaiml-albert-dpo-0912-v-1706-v1-mkmlizer: ║ https://mk1.ai ║
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chaiml-albert-dpo-0912-v-1706-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-albert-dpo-0912-v-1706-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-albert-dpo-0912-v-1706-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
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chaiml-albert-dpo-0912-v-1706-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-albert-dpo-0912-v-1706-v1-mkmlizer: Downloaded to shared memory in 92.734s
chaiml-albert-dpo-0912-v-1706-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp23afv407, device:0
chaiml-albert-dpo-0912-v-1706-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-albert-dpo-0912-v-1706-v1-mkmlizer: quantized model in 40.921s
chaiml-albert-dpo-0912-v-1706-v1-mkmlizer: Processed model ChaiML/albert_dpo_0912_virgo_edit_variety_top_model_strength in 133.656s
chaiml-albert-dpo-0912-v-1706-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-albert-dpo-0912-v-1706-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-albert-dpo-0912-v-1706-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-albert-dpo-0912-v-1706-v1
chaiml-albert-dpo-0912-v-1706-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-albert-dpo-0912-v-1706-v1/config.json
chaiml-albert-dpo-0912-v-1706-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-albert-dpo-0912-v-1706-v1/special_tokens_map.json
chaiml-albert-dpo-0912-v-1706-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-albert-dpo-0912-v-1706-v1/tokenizer_config.json
chaiml-albert-dpo-0912-v-1706-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-albert-dpo-0912-v-1706-v1/tokenizer.json
chaiml-albert-dpo-0912-v-1706-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-albert-dpo-0912-v-1706-v1/flywheel_model.0.safetensors
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Job chaiml-albert-dpo-0912-v-1706-v1-mkmlizer completed after 158.47s with status: succeeded
Stopping job with name chaiml-albert-dpo-0912-v-1706-v1-mkmlizer
Pipeline stage MKMLizer completed in 159.60s
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Creating inference service chaiml-albert-dpo-0912-v-1706-v1
Waiting for inference service chaiml-albert-dpo-0912-v-1706-v1 to be ready
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Inference service chaiml-albert-dpo-0912-v-1706-v1 ready after 191.13163232803345s
Pipeline stage MKMLDeployer completed in 191.64s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.8704595565795898s
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Received healthy response to inference request in 1.4072332382202148s
Received healthy response to inference request in 1.8148984909057617s
Received healthy response to inference request in 0.836930513381958s
Received healthy response to inference request in 1.591806173324585s
5 requests
0 failed requests
5th percentile: 0.9509910583496094
10th percentile: 1.0650516033172608
20th percentile: 1.2931726932525636
30th percentile: 1.4441478252410889
40th percentile: 1.517976999282837
50th percentile: 1.591806173324585
60th percentile: 1.6810431003570556
70th percentile: 1.7702800273895263
80th percentile: 1.8260107040405273
90th percentile: 1.8482351303100586
95th percentile: 1.8593473434448242
99th percentile: 1.8682371139526368
mean time: 1.504265594482422
Pipeline stage StressChecker completed in 9.26s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 6.34s
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Creating inference service chaiml-albert-dpo-0912-v-1706-v1-profiler
Waiting for inference service chaiml-albert-dpo-0912-v-1706-v1-profiler to be ready
Inference service chaiml-albert-dpo-0912-v-1706-v1-profiler ready after 180.4113028049469s
Pipeline stage MKMLProfilerDeployer completed in 180.80s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-albert-dpo-09ce20fee8dcd1fe0c660301cdaf162ab0-deplobql2n:/code/chaiverse_profiler_1726257079 --namespace tenant-chaiml-guanaco
kubectl exec -it chaiml-albert-dpo-09ce20fee8dcd1fe0c660301cdaf162ab0-deplobql2n --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726257079 && python profiles.py profile --best_of_n 8 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 1024 --output_tokens 64 --summary /code/chaiverse_profiler_1726257079/summary.json'
kubectl exec -it chaiml-albert-dpo-09ce20fee8dcd1fe0c660301cdaf162ab0-deplobql2n --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726257079/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1179.96s
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Running pipeline stage MKMLProfilerDeleter
Checking if service chaiml-albert-dpo-0912-v-1706-v1-profiler is running
Tearing down inference service chaiml-albert-dpo-0912-v-1706-v1-profiler
Service chaiml-albert-dpo-0912-v-1706-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 3.10s
Shutdown handler de-registered
chaiml-albert-dpo-0912-v_1706_v1 status is now inactive due to auto deactivation removed underperforming models